We would like to invite you to the upcoming event ‘Theorising from Qualitative Case Study Research’ run by BAM International Business and International Management SIG & Academy of International Business, UK & Ireland
Date and Time: Thursday 25th April 2019, 12:30pm-15:00pm
Location: University of Sussex, Falmer, Brighton, BN1 9RH
Event fee: Free
The aim of this workshop is to unpack the theorising potential of Qualitative Case Study Research. Emphasis will be placed on conducting Qualitative Case study Research under different philosophical orientations and its implications for theorising. In particular, the workshop with address the following questions:
• What is Qualitative Case Study Research?
• How do our paradigmatic assumptions shape Qualitative Case Study Research?
• How do we theorise from Qualitative Case Study Research?
We will critically reflect on these questions by bringing in Philosophy of Science and Methodological literatures. We will discuss the limitations of inductive theory-building, and explore the utilisation of alternative approaches to theorising that can enhance the Case Study’s explanatory power and potential for contextualisation
Emmanuella Plakoyiannaki is Professor of International Business at Leeds University Business School. She is also the Co-Chair for the IB/IM SIG of the British Academy of Management (BAM). Emmanuella is committed to raising awareness about qualitative research and has delivered relevant seminars in various Universities throughout the world. Her research interests refer to qualitative research, language (in an IB context) as well as consumer behaviour. She has published in various academic journals including the Academy of Management Review, Journal of International Business Studies, Journal of World Business and Journal of Management Studies among others.
For more information and register your place, please go to: https://www.bam.ac.uk/civicrm/event/info?reset=1&id=357
Linh Dang | Events Officer
British Academy of Management, 137 Euston Road London, NW1 2AA, UK
T: +44 (0)2073 837 770 | email@example.com
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